Privacy-Preserving Boosting with Random Linear Classifiers.
Sagar SharmaKeke ChenPublished in: CCS (2018)
Keyphrases
- privacy preserving
- linear classifiers
- naive bayesian classification
- privacy preserving data mining
- multi class
- hyperplane
- privacy preservation
- vertically partitioned data
- multi party
- generalization error
- horizontally partitioned data
- privacy sensitive
- privacy protection
- private data
- privacy issues
- differential privacy
- private information
- data privacy
- data sets
- privacy concerns
- principal components
- sensitive data
- machine learning
- sensitive information
- privacy preserving association rule mining
- learning algorithm
- secure multiparty computation
- decision trees
- svm classifier
- feature extraction
- support vector
- lower bound
- feature selection
- classification accuracy
- dimensionality reduction